Order intent
A notebook, ready to order.
quantity: 1More clarity. Less mental tracing.
Code belongs in files. Behavior belongs on a board.
Explore a behavior from your app. Test the difficult cases. Bring the logic and evidence back to your codebase.
A notebook, ready to order.
quantity: 1Swap the policy. Keep the wires.
Standard · $15.00The result appears here.
Waiting for inputWHY BREADBOARD / IN THE AGE OF AI AGENTS
When agents produce changes faster than you can review them, your attention matters. You still need to understand the behavior and decide what should ship.
Folders organize where code is stored. Breadboard brings inputs, state, and outcomes into view so you can compare decisions without tracing every connection in your head.
01 / START SMALL
A checkout rule. A stateful cart. A search flow with awkward edge cases. Explore one behavior, then take the result back to the app it belongs to.
Place the relevant logic, inputs, and outcomes on the board. Make the assumptions and service boundaries explicit.
Swap a policy or send an invalid input. Follow the outcome and choose the behavior you want to keep.
Carry the chosen logic, constraints, and run results into the next implementation step.
You or your agent adapt the code, connect real services, and check the same cases in your repo before shipping.
02 / FROM EXPLORATION TO IMPLEMENTATION
Leave with logic you can use, cases you can test, and decisions your agent can act on. Keep the result connected to the software you ship.
Carry the selected function or policy into your app. Keep its rules intact while adapting the surrounding code to your stack.
Keep the inputs, expected outcomes, and observed results together. Give your agent specific checks for the implementation.
Use an export or a compatible MCP / WebMCP connection to hand over the behavior and its constraints without re-explaining the board.
Compare standard pricing at $15 with VIP pricing at $12. Check that quantity zero is rejected.
Keep the chosen pricing rule, quantity constraint, and example inputs with their expected outcomes.
Have your agent update checkout and add tests for those cases. Verify the real service connections in CI.
03 / BEFORE YOU DIVE IN
What leaves the board, how your agent uses it, and where production checks fit.
Start with one behavior in your app: a pricing rule, a checkout flow, or a shared state update. Take the selected logic and the cases you explored back to that codebase. Reuse self-contained code where it fits, and have your agent adapt the connections to your framework, data, and services.
The chosen logic, its inputs and expected outputs, the rules it must preserve, and the results of the cases you ran. Code is material to reuse or adapt; those cases give your agent concrete targets for implementation and tests. A saved board preserves the working model, rather than packaging a deployed app.
Share an exported board, or use an available MCP or WebMCP connection with a compatible agent. The handoff gives the agent the behavior, constraints, and run results to work from while it changes your repo. Keep the conversation moving without reconstructing every decision in another chat.
A board run checks the behavior for the inputs and dependencies represented there. Connect the implementation to your real services, turn the important cases into tests, and run your app’s integration checks and review before shipping. Your repo, CI, and deployment process remain the path to production.
The slice that is hard to reason about across files: an order flow, shared state, a policy boundary, or an awkward failure path. Keep the rest of your app in place. Breadboard gives that slice a surface for exploration, debugging, and comparison.
Reflect reconstructs what an existing product already does. Breadboard gives the active behavior a surface while you shape what it should do next. Both keep understanding connected to the software instead of trapped in a separate document.
EXPLORE. IMPLEMENT. VERIFY.
A Stewie product. Built for software that keeps changing.